½º¸¶Æ® °¡·Îµî ½ÃÀå : ºÎǰº°, ¿¬°á ±â¼úº°, Àü¿øº°, ¼³Ä¡ À¯Çüº°, À¯Åë ä³Îº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº° - ¼¼°è ¿¹Ãø(2025-2030³â)
Smart Street Lighting Market by Component, Connectivity Technology, Power Source, Installation Type, Distribution Channel, Application, End User - Global Forecast 2025-2030
»óǰÄÚµå : 1806278
¸®¼­Ä¡»ç : 360iResearch
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 194 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 3,939 £Ü 5,527,000
PDF, Excel & 1 Year Online Access (Single User License) help
PDF ¹× Excel º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ® µîÀÇ º¹»ç ¹× ºÙ¿©³Ö±â, ÀμⰡ °¡´ÉÇÕ´Ï´Ù. ¿Â¶óÀÎ Ç÷§Æû¿¡¼­ 1³â µ¿¾È º¸°í¼­¸¦ ¹«Á¦ÇÑÀ¸·Î ´Ù¿î·ÎµåÇÒ ¼ö ÀÖÀ¸¸ç, Á¤±âÀûÀ¸·Î ¾÷µ¥ÀÌÆ®µÇ´Â Á¤º¸µµ ÀÌ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. (¿¬ 3-4ȸ Á¤µµ ¾÷µ¥ÀÌÆ®)
US $ 4,249 £Ü 5,963,000
PDF, Excel & 1 Year Online Access (2-5 User License) help
PDF ¹× Excel º¸°í¼­¸¦ µ¿Àϱâ¾÷ ³» 5¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ® µîÀÇ º¹»ç ¹× ºÙ¿©³Ö±â, ÀμⰡ °¡´ÉÇÕ´Ï´Ù. ¿Â¶óÀÎ Ç÷§Æû¿¡¼­ 1³â µ¿¾È º¸°í¼­¸¦ ¹«Á¦ÇÑÀ¸·Î ´Ù¿î·ÎµåÇÒ ¼ö ÀÖÀ¸¸ç, Á¤±âÀûÀ¸·Î ¾÷µ¥ÀÌÆ®µÇ´Â Á¤º¸µµ ÀÌ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. (¿¬ 3-4ȸ Á¤µµ ¾÷µ¥ÀÌÆ®)
US $ 5,759 £Ü 8,082,000
PDF, Excel & 1 Year Online Access (Site License) help
PDF ¹× Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ ³» µ¿ÀÏ Áö¿ª »ç¾÷ÀåÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ® µîÀÇ º¹»ç ¹× ºÙ¿©³Ö±â, ÀμⰡ °¡´ÉÇÕ´Ï´Ù. ¿Â¶óÀÎ Ç÷§Æû¿¡¼­ 1³â µ¿¾È º¸°í¼­¸¦ ¹«Á¦ÇÑÀ¸·Î ´Ù¿î·ÎµåÇÒ ¼ö ÀÖÀ¸¸ç, Á¤±âÀûÀ¸·Î ¾÷µ¥ÀÌÆ®µÇ´Â Á¤º¸µµ ÀÌ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. (¿¬ 3-4ȸ Á¤µµ ¾÷µ¥ÀÌÆ®)
US $ 6,969 £Ü 9,780,000
PDF, Excel & 1 Year Online Access (Enterprise User License) help
PDF ¹× Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ® µîÀÇ º¹»ç ¹× ºÙ¿©³Ö±â, ÀμⰡ °¡´ÉÇÕ´Ï´Ù. ¿Â¶óÀÎ Ç÷§Æû¿¡¼­ 1³â µ¿¾È º¸°í¼­¸¦ ¹«Á¦ÇÑÀ¸·Î ´Ù¿î·ÎµåÇÒ ¼ö ÀÖÀ¸¸ç, Á¤±âÀûÀ¸·Î ¾÷µ¥ÀÌÆ®µÇ´Â Á¤º¸µµ ÀÌ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. (¿¬ 3-4ȸ Á¤µµ ¾÷µ¥ÀÌÆ®)


¤± Add-on °¡´É: °í°´ÀÇ ¿äû¿¡ µû¶ó ÀÏÁ¤ÇÑ ¹üÀ§ ³»¿¡¼­ CustomizationÀÌ °¡´ÉÇÕ´Ï´Ù. ÀÚ¼¼ÇÑ »çÇ×Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.
¤± º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼Û±âÀÏÀº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

Çѱ۸ñÂ÷

½º¸¶Æ® °¡·Îµî ½ÃÀåÀº 2024³â¿¡ 30¾ï 8,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾úÀ¸¸ç, 2025³â¿¡´Â 34¾ï 4,000¸¸ ´Þ·¯, CAGR 12.46%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 62¾ï 4,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

ÁÖ¿ä ½ÃÀå Åë°è
±âÁØ ¿¬µµ 2024³â 30¾ï 8,000¸¸ ´Þ·¯
ÃßÁ¤ ¿¬µµ 2025³â 34¾ï 4,000¸¸ ´Þ·¯
¿¹Ãø ¿¬µµ 2030³â 62¾ï 4,000¸¸ ´Þ·¯
CAGR(%) 12.46%

½º¸¶Æ® °¡·ÎµîÀº ÷´Ü Á¶¸í ±â¼ú°ú »óÈ£¿¬°áµÈ ¼¾¼­, µ¥ÀÌÅÍ ºÐ¼®, Á¦¾î Ç÷§ÆûÀ» À¶ÇÕÇÑ µµ½Ã ÀÎÇÁ¶óÀÇ ÆÐ·¯´ÙÀÓ ÀüȯÀ» »ó¡ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÁøÈ­ÀÇ ÇÙ½ÉÀº °¡·ÎµîÀÇ ±â´ÉÀ» ´Ü¼øÇÑ Á¶¸íÀÇ ¹üÀ§¸¦ ³Ñ¾î, ÁöÀÚü°¡ ȯ°æ Á¶°ÇÀ» ¸ð´ÏÅ͸µÇϰí, ¿¡³ÊÁö »ç¿ë·®À» ÃÖÀûÈ­Çϸç, ½Ç½Ã°£ ´ëÀÀÀ» ÅëÇØ °ø°ø¾ÈÀüÀ» °­È­ÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â °ÍÀÔ´Ï´Ù. LED ±â¼úÀÇ ±Þ¼ÓÇÑ ¹ßÀü°ú »ç¹°ÀÎÅͳÝ(IoT)ÀÇ È®»êÀº ½Å·ÚÇÒ ¼ö ÀÖ´Â Á¶¸í»Ó¸¸ ¾Æ´Ï¶ó º¸´Ù ½º¸¶Æ®ÇÑ µµ½Ã °ü¸®¸¦ À§ÇÑ Áß¿äÇÑ µ¥ÀÌÅÍ ½ºÆ®¸²À» Á¦°øÇÏ´Â ¼³ºñÀÇ ±æÀ» ¿­¾îÁÖ¾ú½À´Ï´Ù.

ÃÖ±Ù ¸î ³â µ¿¾È Áß¾Ó ÁýÁᫎ °ü¸® ½Ã½ºÅÛ, ¿¹Áöº¸Àü ¼ÒÇÁÆ®¿þ¾î, ÅëÇÕ ¼¾¼­ ¾î·¹ÀÌÀÇ À¶ÇÕÀ¸·Î °¡·ÎµîÀº ¼öµ¿ÀûÀÎ À¯Æ¿¸®Æ¼¿¡¼­ ½º¸¶Æ® ½ÃƼ »ýŰèÀÇ ´Éµ¿ÀûÀÎ ±¸¼º¿ä¼Ò·Î ½ÂÈ­µÇ¾ú½À´Ï´Ù. ±× °á°ú, µµ½Ã °èȹÀÚ¿Í À¯Æ¿¸®Æ¼ Á¦°ø¾÷üµéÀº µ¿Àû µð¹Ö, ÀûÀÀÇü ½ºÄÉÁÙ¸µ, ¿ø°Ý °íÀå °¨Áö¸¦ ÅëÇÕÇÑ ¿î¿µ Àü·«À» ÀçÁ¤ÀÇÇϰí ÀÖ½À´Ï´Ù. Á¶¸í ÀÎÇÁ¶ó¿¡ ´ëÇÑ ÀÌ·¯ÇÑ Á¾ÇÕÀûÀÎ Á¢±Ù ¹æ½ÄÀº ¿¡³ÊÁö ¼Òºñ¿Í À¯Áöº¸¼ö ºñ¿ëÀ» ȹ±âÀûÀ¸·Î Àý°¨ÇÏ´Â µ¿½Ã¿¡ ¼º´É ÁöÇ¥ÀÇ Åõ¸í¼ºÀ» ³ôÀÔ´Ï´Ù.

ÀÌ º¸°í¼­´Â ±â¼ú, ±ÔÁ¦, ½ÃÀå Àü¹Ý¿¡ °ÉÄ£ ÀλçÀÌÆ®¸¦ ÅëÇÕÇÏ¿© ÀÇ»ç°áÁ¤±ÇÀÚ¿¡°Ô ½º¸¶Æ® °¡·Îµî Á¶¸íÀÇ ÇöÀç µ¿Çâ°ú ¹Ì·¡ ±Ëµµ¸¦ ÀÌÇØÇÒ ¼ö ÀÖ´Â Á¾ÇÕÀûÀÎ ±â¹ÝÀ» Á¦°øÇÕ´Ï´Ù. Çϵå¿þ¾î ±¸¼º, ¿¬°á ÇÁ·¹ÀÓ¿öÅ©, ÁøÈ­ÇÏ´Â ¼­ºñ½º ¸ðµ¨À» ¾Æ¿ì¸£´Â ÀÌ ºÐ¼®Àº ÀÌÇØ°ü°èÀڵ鿡°Ô Â÷¼¼´ë µµ½Ã Á¶¸íÀÇ º¹À⼺À» ±Øº¹ÇÒ ¼ö ÀÖ´Â ½ÇÇà °¡´ÉÇÑ ·Îµå¸ÊÀ» Á¦°øÇÏ´Â °ÍÀ» ¸ñÇ¥·Î ÇÕ´Ï´Ù.

Áö¼Ó°¡´ÉÇÑ Áö´ÉÇü µµ½Ã ÀÎÇÁ¶ó¸¦ À§ÇÑ ½º¸¶Æ® °¡·Îµî »ýŰ踦 ÃËÁøÇÏ´Â »õ·Î¿î ÆÐ·¯´ÙÀÓÀÇ ÀüȯÀÌ ÀϾ°í ÀÖ½À´Ï´Ù.

½º¸¶Æ® °¡·ÎµîÀº ¼¾¼­ÀÇ ¼ÒÇüÈ­, ÀΰøÁö´ÉÀÇ ¹ßÀü, ÁøÈ­ÇÏ´Â µµ½ÃÀÇ È¸º¹·ÂÀ̶ó´Â ¸ñÇ¥¿¡ ÈûÀÔ¾î Å©°Ô º¯È­Çϰí ÀÖ½À´Ï´Ù. ±âÁ¸ÀÇ ¿òÁ÷ÀÓ °¨Áö ¹× ȯ°æ±¤ °¨Áö ¿Ü¿¡µµ ´ë±â Áú°ú ¼ÒÀ½ ¼öÁØÀ» ¸ð´ÏÅ͸µÇÒ ¼ö Àִ ȯ°æ ¼¾¼­·Î ÀÎÇØ °¡·Îµî ³×Æ®¿öÅ©´Â ½º¸¶Æ® ½ÃƼÀÇ µ¥ÀÌÅÍ ÅëÇÕÀ» À§ÇÑ Áß¿äÇÑ ³ëµå°¡ µÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀ» µ¥ÀÌÅÍ ºÐ¼® Ç÷§Æû¿¡ ÅëÇÕÇÏ¿© Á¶¸í ÀÚ»êÀÇ ¿î¿µ ¼ö¸íÀ» ¿¬ÀåÇÏ°í ´Ù¿îŸÀÓÀ» ÃÖ¼ÒÈ­ÇÏ´Â ¿¹Áöº¸Àü ½ºÄÉÁÙ¸µÀÌ °¡´ÉÇØÁý´Ï´Ù.

2025³â ½ÃÇàµÇ´Â ¹Ì±¹ °ü¼¼°¡ ½º¸¶Æ® °¡·Îµî °ø±Þ¸Á ¹× ºñ¿ë¿¡ ¹ÌÄ¡´Â ´©Àû È¿°ú Æò°¡

2025³â ¹Ì±¹ÀÇ »õ·Î¿î °ü¼¼ µµÀÔÀº ½º¸¶Æ® °¡·Îµî ¾÷°èÀÇ Á¦Á¶¾÷ü, À¯Åë¾÷ü, ÁöÀÚü ±¸¸ÅÀÚ¿¡°Ô ÀÏ·ÃÀÇ º¹À⼺À» °¡Á®¿Ô½À´Ï´Ù. LED ¸ðµâ, ¸¶ÀÌÅ©·ÎÄÁÆ®·Ñ·¯ À¯´Ö, ÷´Ü ¼¾¼­ ¼ÒÀÚ µî ÁÖ¿ä ¼öÀÔ ºÎǰ¿¡ Ãß°¡ °ü¼¼¸¦ ºÎ°úÇÔÀ¸·Î½á, À̹ø Á¶Ä¡´Â Á¶´Þ Àü·«À» Áö¿ª °ø±Þ¸Á ´Ùº¯È­·Î ÀüȯÇÏ´Â °è±â°¡ µÇ¾ú½À´Ï´Ù. ±× °á°ú, ±â¾÷µéÀº º¥´õ¿ÍÀÇ °ü°è¸¦ ÀçÆò°¡Çϰí, °è¾à Àç°ËÅ並 Çù»óÇϰí, ºñ¿ë ¾Ð¹ÚÀ» ¿ÏÈ­Çϱâ À§ÇØ ´Ï¾î¼î¾î¸µ ¿É¼ÇÀ» ¸ð»öÇØ¾ß¸¸ Çß½À´Ï´Ù.

±¸¼º¿ä¼Ò ¿¬°á¼º Àü·Â ¼³ºñ ¹èÀü ¾ÖÇø®ÄÉÀÌ¼Ç ¹× ÃÖÁ¾»ç¿ëÀÚ ¼¼ºÐÈ­º° ¼¼ºÐÈ­µÈ ½ÃÀå ÀλçÀÌÆ® ÆÄ¾ÇÇϱâ

½º¸¶Æ® °¡·Îµî ½ÃÀåÀº ±¸¼º¿ä¼Ò, ¿¬°á ±â¼ú, Àü¿ø °ø±Þ ÀåÄ¡, ¼³Ä¡ À¯Çü, À¯Åë ä³Î, ¿ëµµ, ÃÖÁ¾»ç¿ëÀÚ Ä«Å×°í¸® µî ´Ù°¢ÀûÀÎ ¼¼ºÐÈ­ ·»Á ÅëÇØ Á¶»çÇÏ¸é ¹Ì¹¦ÇÑ ¿òÁ÷ÀÓÀ» º¸ÀÔ´Ï´Ù. ±¸¼º¿ä¼Ò Ãø¸é¿¡¼­ Çϵå¿þ¾î ÅõÀÚ´Â LED ·¥ÇÁ, Áö´ÉÇü ¼¾¼­ ¾î·¹ÀÌ, ¸ðµâ½Ä Æú ÀÎÇÁ¶ó°¡ Áß½ÉÀÌ µÇ°í, ¼­ºñ½º Ãø¸é¿¡¼­´Â °ü¸®Çü ¼­ºñ½º¿Í Àü¹® ¼­ºñ½º°¡ Á¡Á¡ ´õ Áß¿ä½ÃµÇ°í ÀÖ½À´Ï´Ù. ÀÌ¿Í ÇÔ²² ¼ÒÇÁÆ®¿þ¾î ¼Ö·ç¼ÇÀº Áß¾Ó ÁýÁᫎ °ü¸®, °í±Þ µ¥ÀÌÅÍ ½Ã°¢È­, ¿¹Áöº¸Àü ±â´ÉÀ» Æ÷ÇÔÇÑ Á¾ÇÕÀûÀÎ Ç÷§ÆûÀ¸·Î ÁøÈ­ÇÏ¿© ¿î¿µ È¿À²¼ºÀ» ³ôÀ̰í ÀÖ½À´Ï´Ù.

¾Æ¸Þ¸®Ä«, À¯·´, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«, ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ½º¸¶Æ® °¡·Îµî äÅà ¹× º¸±ÞÀ» Çü¼ºÇÏ´Â Áö¿ª ¿ªÇÐ

Áö¿ªÀû ¿ªÇÐÀº Àü ¼¼°è ½º¸¶Æ® °¡·Îµî ¼Ö·ç¼ÇÀÇ Ã¤Åà °æ·Î¿Í ÅõÀÚ Àü·«À» Çü¼ºÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù. ¹Ì±¹ ´ë·ú¿¡¼­´Â ¿¬¹æ Á¤ºÎÀÇ ÀÎÇÁ¶ó °èȹ°ú ÁöÀÚüÀÇ Áö¼Ó°¡´É¼º ¸ñÇ¥°¡ ¸Â¹°·Á ´ëµµ½Ã Áö¿ª¿¡¼­ÀÇ ½Ã¹ü µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖÀ¸¸ç, ¼º´É ±â¹Ý °ü¸® ¼­ºñ½º¿Í ÀûÀÀÇü Á¶¸í Á¦¾î¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÁÖ¿ä ÁöÀÚüµéÀº ´ë±Ô¸ð ±¸Ãà¿¡ ÀÚ±ÝÀ» Áö¿øÇϱâ À§ÇØ ¹Î°ü ÆÄÆ®³Ê½ÊÀ» ü°áÇϰí ÀÖÀ¸¸ç, ½Ç½Ã°£ ºÐ¼®À» º¸´Ù ±¤¹üÀ§ÇÑ ½º¸¶Æ® ½ÃƼ Ç÷§Æû¿¡ ÅëÇÕÇÏ´Â µ¥ ÃÊÁ¡À» ¸ÂÃß°í ÀÖ½À´Ï´Ù.

½º¸¶Æ® °¡·Îµî Çõ½ÅÀÇ ÃÖÀü¼±¿¡¼­ Ȱµ¿ ±â¼ú ¹ßÀü°ú ½ÃÀå È®´ë¸¦ ÁÖµµÇÏ´Â ÁÖ¿ä ±â¾÷µé

½º¸¶Æ® °¡·Îµî ºÐ¾ßÀÇ ¼±µµ ±â¾÷µéÀº Á¶¸í Çϵå¿þ¾î, ³×Æ®¿öÅ© Åë½Å, µ¥ÀÌÅÍ ºÐ¼® µî ´Ù¾çÇÑ ºÐ¾ßÀÇ Àü¹®¼ºÀ» ÅëÇÕÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» °®Ãß°í ÀÖ½À´Ï´Ù. ÀÌ ¼¼°èÀûÀÎ Á¶¸í±â±¸ Á¦Á¶¾÷ü´Â Æ´»õ ¼ÒÇÁÆ®¿þ¾î °³¹ß ¾÷ü¸¦ Àü·«ÀûÀ¸·Î ÀμöÇÏ¿© Æ÷Æ®Æú¸®¿À¸¦ È®ÀåÇϰí, ÀûÀÀÇü Á¶¸í Á¦¾î¿¡¼­ µµ½Ã Àüü °ü¸® ´ë½Ãº¸µå¿¡ À̸£±â±îÁö ¸ðµç °ÍÀ» Æ÷°ýÇÏ´Â ¿£µå Åõ ¿£µå ¼Ö·ç¼ÇÀ» Á¦°øÇϰí ÀÖ½À´Ï´Ù. µ¿½Ã¿¡ Åë½Å ¹× ÀÎÇÁ¶ó ´ë±â¾÷Àº ³×Æ®¿öÅ© ¼³°è ´É·Â°ú ¼­ºñ½º Á¦°ø ¸ðµ¨À» Ȱ¿ëÇÏ¿© IoT ¿ø°Ý ÃøÁ¤À» ÅëÇÕÇÑ °ü¸®Çü Á¶¸í ¼­ºñ½º¸¦ Á¦°øÇϰí ÀÖ½À´Ï´Ù.

½º¸¶Æ® °¡·Îµî ±âȸ¸¦ Ȱ¿ëÇÏ°í »õ·Î¿î °úÁ¦¸¦ ±Øº¹Çϱâ À§ÇÑ ¾÷°è ¸®´õÀÇ Àü·«Àû °úÁ¦

½º¸¶Æ® °¡·Îµî ½ÃÀåÀÇ ¸ð¸àÅÒÀ» Ȱ¿ëÇϱâ À§ÇØ ¾÷°è ¸®´õµéÀº Çϵå¿þ¾î, ¿¬°á¼º, ºÐ¼® ¼­ºñ½ºÀÇ ¿øÈ°ÇÑ ÅëÇÕÀ» ÃËÁøÇÏ´Â °³¹æÀûÀÌ°í »óÈ£ ¿î¿ë °¡´ÉÇÑ Ç÷§Æû °³¹ß¿¡ ¿ì¼±¼øÀ§¸¦ µÎ¾î¾ß ÇÕ´Ï´Ù. Ç¥ÁØÈ­µÈ Åë½Å ÇÁ·ÎÅäÄݰú ¸ðµâÇü ¼ÒÇÁÆ®¿þ¾î ¾ÆÅ°ÅØÃ³¸¦ äÅÃÇÔÀ¸·Î½á ¼Ö·ç¼Ç Á¦°ø¾÷ü´Â ±¸Ãà ¸¶ÂûÀ» ÁÙÀ̰í, º¸´Ù ±¤¹üÀ§ÇÑ ÁöÀÚü ¹× »ó¾÷¿ë °í°´¿¡°Ô ¾îÇÊÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, Áö¹æÁ¤ºÎ¿Í Çù·ÂÇÏ¿© ½Ã¹ü ÇÁ·Î±×·¥À» ±¸ÃàÇÔÀ¸·Î½á ÀÌÇØ°ü°èÀÚµéÀº ¼º°ú ¼º°ú¸¦ °ËÁõÇϰí Çõ½ÅÀûÀÎ Á¶¸í Àü·«¿¡ ´ëÇÑ °ø°øºÎ¹®ÀÇ ½Å·Ú¸¦ ±¸ÃàÇÒ ¼ö ÀÖ½À´Ï´Ù.

½º¸¶Æ® °¡·Îµî ½ÃÀå ÀλçÀÌÆ®¿Í µ¿ÇâÀ» ºÐ¼®Çϱâ À§ÇØ Á¤¼ºÀû ¹× Á¤·®Àû Á¢±Ù ¹æ½ÄÀ» ÅëÇÕÇÑ °­·ÂÇÑ ¿¬±¸ ¹æ¹ý·Ð.

º» º¸°í¼­ÀÇ Á¶»ç °á°ú´Â ¾÷°è ÀÌÇØ°ü°èÀÚ ´ë»óÀÇ 1Â÷ ÀÎÅͺä¿Í Á¾ÇÕÀûÀÎ 2Â÷ µ¥ÀÌÅÍ ºÐ¼®À» °áÇÕÇÑ ¾ö°ÝÇÑ Á¶»ç ¹æ¹ýÀ» ÅëÇØ µµÃâµÈ °ÍÀÔ´Ï´Ù. 1Â÷ Á¶»ç¿¡¼­´Â Á¶¸í OEM, Ä¿³ØÆ¼µå ¼Ö·ç¼Ç Á¦°ø¾÷ü, ÁöÀÚü °ü°èÀÚ, ¼³Ä¡ °è¾à¾÷ü¿Í ¸é¹ÐÇÑ ³íÀǸ¦ ÅëÇØ ½ÇÁ¦ µµÀÔ °æÇè, ±â¼ú µµÀÔÀÇ Àå¾Ö¹°, ¼­ºñ½º Á¦°ø ¸ðµ¨À» ÆÄ¾ÇÇß½À´Ï´Ù. Àü¹®°¡ ÀÚ¹®À§¿øÈ¸´Â »õ·Î¿î Æ®·»µå¸¦ °ËÅäÇϰí, Á¦½ÃµÈ ÀλçÀÌÆ®ÀÌ ÇöÀç ½ÃÀå Çö½Ç°ú ¿¹»óµÇ´Â ¹Ì·¡ Ãß¼¼¸¦ ¸ðµÎ ¹Ý¿µÇϰí ÀÖÀ½À» È®ÀÎÇß½À´Ï´Ù.

¿ä¾à ÁÖ¿ä Á¶»ç °á°ú¸¦ ¿ä¾àÇϰí, ½º¸¶Æ® °¡·Îµî Çõ½ÅÀÇ Áö¼Ó°¡´É¼º°ú ÇâÈÄ ¼ºÀå °æ·Î¸¦ Á¦½ÃÇÕ´Ï´Ù.

µµ½Ã °æ°üÀÌ °è¼Ó ÁøÈ­ÇÏ´Â °¡¿îµ¥, ½º¸¶Æ® °¡·ÎµîÀº Áö¼Ó°¡´É¼º, ¾ÈÀü, µðÁöÅÐ Çõ½ÅÀÇ ±³Â÷·Î¿¡ ¼­ ÀÖ½À´Ï´Ù. ´Üµ¶ LED ¾÷±×·¹À̵å ÇÁ·ÎÁ§Æ®¿¡¼­ ¿ÏÀüÈ÷ »óÈ£¿¬°áµÈ Á¶¸í ³×Æ®¿öÅ©·ÎÀÇ ¹ßÀüÀºÀÌ ºÐ¾ßÀÇ ¿ªµ¿Àû ÀÎ ÀáÀç·ÂÀ» °­Á¶ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÁøÈ­´Â ¼¾¼­ÀÇ Çõ½Å, Áö´ÉÇü ºÐ¼®, ¹«¿ª Á¤Ã¥¿¡ ´ëÀÀÇÏ´Â °ø±Þ¸ÁÀÇ Àü·«Àû ÀçÆí¿¡ ÀÇÇØ ÃËÁøµÇ¾î ¿Ô½À´Ï´Ù. ¶ÇÇÑ, ¸ðµâ¼º°ú °³¹æÇü ¾ÆÅ°ÅØÃ³ Ç÷§Æû¿¡ ´ëÇÑ °­Á¶´Â ÀÌÇØ°ü°èÀÚµéÀÌ ¼Ö·ç¼ÇÀ» È®ÀåÇÏ°í »õ·Î¿î ±â¼ú¿¡ ÀûÀÀÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» °­È­ÇÏ´Â µ¥ µµ¿òÀÌ µÇ°í ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ½ÃÀå °³¿ä

Á¦5Àå ½ÃÀå ¿ªÇÐ

Á¦6Àå ½ÃÀå ÀλçÀÌÆ®

Á¦7Àå ¹Ì±¹ °ü¼¼ÀÇ ´©Àû ¿µÇâ 2025

Á¦8Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : ±¸¼º¿ä¼Òº°

Á¦9Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : Ä¿³ØÆ¼ºñƼ ±â¼úº°

Á¦10Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : Àü¿øº°

Á¦11Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : ¼³Ä¡ À¯Çüº°

Á¦12Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : À¯Åë ä³Îº°

Á¦13Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : ¿ëµµº°

Á¦14Àå ½º¸¶Æ® °¡·Îµî ½ÃÀå : ÃÖÁ¾»ç¿ëÀÚº°

Á¦15Àå ¾Æ¸Þ¸®Ä«ÀÇ ½º¸¶Æ® °¡·Îµî ½ÃÀå

Á¦16Àå À¯·´, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ ½º¸¶Æ® °¡·Îµî ½ÃÀå

Á¦17Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ½º¸¶Æ® °¡·Îµî ½ÃÀå

Á¦18Àå °æÀï ±¸µµ

Á¦19Àå ¸®¼­Ä¡ AI

Á¦20Àå ¸®¼­Ä¡ Åë°è

Á¦21Àå ¸®¼­Ä¡ ÄÁÅÃÆ®

Á¦22Àå ¸®¼­Ä¡ ±â»ç

Á¦23Àå ºÎ·Ï

KSM
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

The Smart Street Lighting Market was valued at USD 3.08 billion in 2024 and is projected to grow to USD 3.44 billion in 2025, with a CAGR of 12.46%, reaching USD 6.24 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 3.08 billion
Estimated Year [2025] USD 3.44 billion
Forecast Year [2030] USD 6.24 billion
CAGR (%) 12.46%

Smart street lighting represents a paradigm shift in urban infrastructure, merging advanced illumination technologies with interconnected sensors, data analytics, and control platforms. At its core, this evolution extends the function of street lamps beyond simple illumination, enabling municipalities to monitor environmental conditions, optimize energy usage, and enhance public safety through real-time responsiveness. Rapid advances in LED technology, combined with the proliferation of the Internet of Things (IoT), have paved the way for installations that deliver not only reliable lighting but also critical data streams to inform smarter city management.

In recent years, the convergence of centralized management systems, predictive maintenance software, and integrated sensor arrays has elevated street lighting from a passive utility to an active component of smart city ecosystems. Consequently, city planners and utility providers are redefining their operational strategies to incorporate dynamic dimming, adaptive scheduling, and remote fault detection. This holistic approach to lighting infrastructure dramatically reduces energy consumption and maintenance costs while increasing transparency in performance metrics.

By synthesizing insights across technological, regulatory, and market domains, this report offers decision-makers a comprehensive foundation for understanding current trends and future trajectories in smart street lighting. Spanning hardware configurations, connectivity frameworks, and evolving service models, the analysis aims to empower stakeholders with an actionable roadmap for navigating the complexities of next-generation urban illumination.

Emerging Paradigm Shifts Driving the Smart Street Lighting Ecosystem Toward Sustainable and Intelligent Urban Infrastructure

The smart street lighting landscape is undergoing transformative shifts driven by breakthroughs in sensor miniaturization, advances in artificial intelligence, and evolving urban resilience objectives. With environmental sensors now capable of monitoring air quality and noise levels alongside traditional motion and ambient light detection, street lighting networks are becoming critical nodes for smart city data aggregation. Furthermore, the integration of machine learning algorithms into data analytics platforms enables predictive maintenance schedules that drastically minimize downtime while extending the operational life of lighting assets.

At the same time, disruptive innovations in connectivity technologies are reshaping deployment models. The rise of low-power wide-area networks and cellular IoT solutions is allowing municipalities to select communication architectures that balance coverage, latency, and total cost of ownership. Meanwhile, solar-powered lighting solutions are gaining traction as cities pursue carbon neutrality goals, further underscoring the role of smart illumination as an enabler of sustainable urban development.

As public safety and visibility remain central to municipal priorities, the trend toward human-centric lighting strategies is emerging. Dynamic beam-steering and adaptive brightness controls respond to pedestrian and vehicular activity in real time, enhancing civil security while conserving energy. Together, these converging innovations are propelling the smart street lighting sector into a new era where flexibility, intelligence, and sustainability are paramount.

Assessing the Cumulative Effects of United States Tariffs Implemented in 2025 on Smart Street Lighting Supply Chains and Costs

The introduction of new United States tariffs in 2025 has introduced a series of complexities for manufacturers, distributors, and municipal buyers within the smart street lighting industry. By imposing additional duties on key imported components such as LED modules, microcontroller units, and advanced sensor elements, these measures have driven procurement strategies toward regional supply chain diversification. Consequently, companies have had to reassess vendor relationships, negotiate revised contracts, and explore near-shoring options to mitigate cost pressures.

In response to the elevated import duties, several solution providers have restructured their product portfolios, favoring domestically sourced hardware and modular designs that facilitate local assembly. At the same time, there has been an uptick in collaborative partnerships between U.S. and international manufacturers aimed at co-development agreements and joint quality certifications. This trend has not only buffered the immediate impact of the tariffs but has also fostered technology transfer and skill development within domestic manufacturing hubs.

Municipalities piloting new installations have encountered project timeline extensions and budget recalibrations, prompting a shift toward performance-based service agreements that allocate risk more equitably between public agencies and private contractors. Despite the initial disruptions caused by the 2025 tariff regime, the industry is gradually adapting by strengthening local ecosystems, leveraging trade incentives, and embracing innovative financing structures to sustain momentum toward smarter, more resilient urban lighting networks.

Unlocking Granular Market Insights Through Component Connectivity Power Installation Distribution Application and End User Segmentation

The smart street lighting market demonstrates nuanced behavior when examined through a multi-dimensional segmentation lens that includes components, connectivity technologies, power sources, installation types, distribution channels, applications, and end-user categories. On the component front, hardware investments are centered on LED lamps, intelligent sensor arrays, and modular pole infrastructure, while services increasingly emphasize managed and professional offerings. In parallel, software solutions have evolved into comprehensive platforms encompassing centralized management, advanced data visualization, and predictive maintenance capabilities that collectively drive operational efficiency.

Connectivity segmentation reveals a deliberate balance between wired Ethernet and power line communication for mission-critical installations, alongside the growing adoption of wireless protocols such as cellular IoT, LoRaWAN, NB-IoT, radio frequency, and Zigbee. This hybrid approach addresses varying requirements for bandwidth, latency, and network resiliency. The dichotomy between grid-connected systems and solar-powered alternatives underscores a sustainability imperative, with off-grid solar solutions gaining momentum in regions where grid reliability and environmental goals are paramount.

From an installation perspective, the market is divided between greenfield projects requiring new pole infrastructure and retrofit programs that upgrade legacy fixtures to smart configurations. Distribution encompasses both offline channels through traditional electrical contractors and growing online platforms offering turnkey hardware and software bundles. Application segmentation spans major corridors-from highways and urban streets to industrial zones, parking facilities, public parks, and subterranean passageways-each demanding tailored lighting performance. Finally, the end-user landscape spans commercial, industrial, and residential domains, with each sector prioritizing unique combinations of safety, aesthetics, cost savings, and data-driven insights.

Regional Dynamics Shaping the Adoption and Deployment of Smart Street Lighting Across Americas Europe Middle East Africa and Asia Pacific

Regional dynamics play a critical role in shaping the adoption pathways and investment strategies for smart street lighting solutions across the globe. In the Americas, a combination of federal infrastructure initiatives and municipal sustainability targets has accelerated pilot deployments in metropolitan areas, driving demand for performance-based managed services and adaptive lighting controls. Leading municipalities are forging public-private partnerships to fund large-scale rollouts, with an emphasis on integrating real-time analytics into broader smart city platforms.

Across Europe, Middle East, and Africa, regulatory harmonization and ambitious carbon reduction mandates have incentivized the rapid replacement of legacy fixtures with energy-efficient LED systems equipped with advanced environmental sensors. Incentive programs and green financing mechanisms in many European nations are creating fertile ground for scalable retrofit projects. Meanwhile, in the Middle East, high solar irradiance levels are spurring interest in hybrid grid-connected and solar-powered configurations, and African markets are progressively exploring smart micro-grids to address lighting access challenges in urban and peri-urban communities.

In the Asia Pacific region, a convergence of urbanization, digital transformation, and government-backed smart city initiatives is fueling aggressive deployment of connected street lighting networks. National digitization schemes in East Asia are fostering adoption of next-generation data analytics solutions, whereas Southeast Asian cities are prioritizing cost-effective wireless communication frameworks like LoRaWAN and NB-IoT. Across all regions, the interplay of infrastructure funding, climate objectives, and technology readiness levels continues to define unique adoption trajectories.

Operating at the Forefront of Smart Street Lighting Innovation Key Companies Driving Technological Advancement and Market Expansion

Leading corporations in the smart street lighting arena are distinguished by their ability to integrate cross-disciplinary expertise in lighting hardware, network communications, and data analytics. Established global luminaire manufacturers are expanding their portfolios through strategic acquisitions of niche software developers to offer end-to-end solutions that encompass everything from adaptive lighting controls to citywide management dashboards. At the same time, telecommunications and infrastructure conglomerates are leveraging their network design capabilities and service delivery models to deliver managed lighting services with embedded IoT telemetry.

Emerging challengers are carving out specialized positions by focusing on ultra-low-power connectivity, open-architecture platforms, or plug-and-play sensor modules that expedite deployment timelines. These innovators are collaborating with municipal testbeds and academic research centers to validate next-generation lighting systems that incorporate AI-driven analytics for anomaly detection and autonomous fault resolution. As competition intensifies, strategic partnerships between component suppliers, software houses, and systems integrators are becoming increasingly common, ensuring that cohesive, interoperable solutions can be delivered at scale.

Across the spectrum, the ability to differentiate through superior software user experience, robust cybersecurity measures, and flexible financing options remains a critical success factor. Companies that can demonstrate validated performance improvements, ease of integration with existing infrastructure, and clear pathways to operational cost reduction are best positioned to secure long-term contracts with municipalities and private stakeholders alike.

Strategic Imperatives for Industry Leaders to Capitalize on Smart Street Lighting Opportunities and Navigate Emerging Challenges

To capitalize on the momentum within the smart street lighting market, industry leaders should prioritize the development of open, interoperable platforms that facilitate seamless integration of hardware, connectivity, and analytics services. By adopting standardized communication protocols and modular software architectures, solution providers can reduce deployment friction and appeal to a broader range of municipal and commercial clients. Additionally, establishing pilot programs in collaboration with local governments allows stakeholders to validate performance outcomes and build public-sector confidence in innovative illumination strategies.

Furthermore, forging strategic alliances with telecom operators, energy utilities, and data management firms will be instrumental in delivering comprehensive managed services that combine lighting with complementary smart city applications. Companies should also invest in targeted training and certification programs for electrical contractors and system integrators to create robust implementation ecosystems. From a financial perspective, offering flexible procurement models-including energy-performance contracts and hardware-as-a-service frameworks-can lower barriers to adoption and align incentives around operational efficiency gains.

Finally, embedding cybersecurity and data privacy considerations at the design phase will be critical for long-term trust and regulatory compliance. By implementing end-to-end encryption, role-based access controls, and transparent data governance policies, industry leaders can mitigate risk while unlocking the full potential of data-driven urban lighting systems.

Robust Research Methodology Integrating Qualitative and Quantitative Approaches to Analyze Smart Street Lighting Market Insights and Trends

This report's findings are underpinned by a rigorous research methodology that combines primary interviews with industry stakeholders and comprehensive secondary data analysis. The primary phase involved in-depth discussions with lighting OEMs, connectivity solution providers, municipal officials, and installation contractors to capture real-world deployment experiences, technology adoption hurdles, and service delivery models. An expert advisory panel validated emerging trends, ensuring that the insights presented reflect both current market realities and anticipated future developments.

Secondary research drew from authoritative sources including academic journals, government regulations, technical white papers, and patent filings to construct a holistic view of the smart street lighting ecosystem. Cross-referencing vendor presentations and project case studies enabled a detailed mapping of component supply chains, connectivity frameworks, and financing structures. Data triangulation techniques were applied to reconcile discrepancies and enhance the reliability of qualitative and quantitative observations.

By integrating these approaches, the analysis achieves a balanced perspective that captures strategic, operational, and technological dimensions. This robust foundation empowers decision-makers to evaluate competitive positioning, assess deployment frameworks, and identify high-growth segments with confidence.

Concluding Reflections Summarizing Key Findings and Charting the Future Path of Innovation Sustainability and Growth in Smart Street Lighting

As the urban landscape continues to evolve, smart street lighting stands at the intersection of sustainability, safety, and digital transformation. The progression from standalone LED upgrade projects to fully interconnected lighting networks underscores the sector's dynamic potential. This evolution has been catalyzed by sensor innovation, intelligent analytics, and the strategic realignment of supply chains in response to trade policies. Moreover, the ongoing emphasis on modularity and open-architecture platforms has enhanced the ability of stakeholders to scale solutions and adapt to emerging technologies.

Despite clear benefits, challenges remain. Fragmented standards across regions can complicate interoperability, while cybersecurity concerns necessitate vigilant risk management. Funding constraints in smaller municipalities underscore the need for flexible financing and collaborative procurement models. Looking ahead, advancements in edge computing, AI-driven light pattern optimization, and integration with broader smart city applications promise to further elevate the role of street lighting as a critical urban infrastructure component.

Ultimately, the future of smart street lighting will be defined by how effectively stakeholders harness data, foster cross-sector partnerships, and adhere to sustainability imperatives. By continually iterating on technological innovations and deployment strategies, industry participants can illuminate the path toward safer, greener, and more connected cities.

Table of Contents

1. Preface

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Dynamics

6. Market Insights

7. Cumulative Impact of United States Tariffs 2025

8. Smart Street Lighting Market, by Component

9. Smart Street Lighting Market, by Connectivity Technology

10. Smart Street Lighting Market, by Power Source

11. Smart Street Lighting Market, by Installation Type

12. Smart Street Lighting Market, by Distribution Channel

13. Smart Street Lighting Market, by Application

14. Smart Street Lighting Market, by End User

15. Americas Smart Street Lighting Market

16. Europe, Middle East & Africa Smart Street Lighting Market

17. Asia-Pacific Smart Street Lighting Market

18. Competitive Landscape

19. ResearchAI

20. ResearchStatistics

21. ResearchContacts

22. ResearchArticles

23. Appendix

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â